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The IUCN data base lists several plant species whose existence is currently threatened by human activities and climatic extremes. Here we report a methodology that monitors threat status of these species in near real time, by deriving data from multiple open data sources, by linking them via a ma...


Burra, Dharani DharBarua, MAPalao, LKReymondin, Louis[Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species]Earth observation, open data and machine learning for near real time threat monitoring of vulnerable plant species

To test an existing sequential recurrent encoders model based on convolutional variants of RNNs for the task of LUC classification across the Brazilian Amazon and to compare different arrangements of input features and their impact on the classifier performance


Coca-Castro, AlejandroRußwurm, MarcReymondin, LouisMulligan, Mark[Sequential Recurrent Encoders for Land Cover Mapping in the Brazilian Amazon using MODIS Imagery and Auxiliary Datasets]Sequential Recurrent Encoders for Land Cover Mapping in the Brazilian Amazon using MODIS Imagery and Auxiliary Datasets

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